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| false | Qdrant + DataTalks.Club: Free 10-Week Course on LLM Applications | Gain hands-on experience with LLMs, RAG, vector search, evaluation, monitoring, and more. | Gain hands-on experience with LLMs, RAG, vector search, evaluation, monitoring, and more. | /blog/datatalks-course/datatalksclub.jpg | /blog/datatalks-course/datatalksclub.jpg | 2025-06-03T23:00:00Z | Qdrant | false |
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Want to learn how to build an AI system that answers questions about your knowledge base?
We’re excited to announce our partnership with Alexey Grigorev and DataTalks.Club to bring you a free, hands-on, 10-week course focused on building real-life applications of LLMs.
Gain hands-on experience with LLMs, RAG, vector search, evaluation, monitoring, and more.
Learn RAG and Vector Search
In this course, you'll learn how to create an AI system that can answer questions about your own knowledge base using LLMs and RAG.
Week 1 introduces the fundamentals of LLMs and RAG. You’ll implement your first RAG pipeline to answer questions using FAQ documents.
Week 2 is where the vector search magic begins.
What You'll Learn from Qdrant's Experts
Qdrant’s team will guide you through both foundational and advanced concepts in vector and hybrid search:
Evgeniya (Jenny) Sukhodolskaya, Developer Advocate at Qdrant
→ Learn how to run locally semantic similarity search with Qdrant and FastEmbed (Qdrant's optimized embedding solution) as well as gain visual understanding of vector search with Qdrant's WebUI.
Kacper Łukawski, Senior Developer Advocate at Qdrant
→ Dive into hybrid search: combining lexical and vector search for better results. You’ll also explore multi-vector search, reranking, and late interaction models.
How to Join
The course is 100% free and online, with all materials publicly available.
Start today!
Get started:
- Subscribe to the Google Calendar
- Check 2025 cohort folder to stay updated
- Save the 2025 course playlist on YouTube
- Watch all Module 1 videos
- Complete homework, due June 17